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The Earth’s atmosphere: seeing, background, absorption & scatteringObservational Astronomy 2019 Part 8 Prof. S.C. Trager
Seeing
All ground-based observatories suffer from a major problem:
light from distant objects must pass through the Earth’s atmosphere
recall from our discussion of optics that the atmosphere has refractive power
Seeing
The refraction itself isn’t the problem: it’s the variation in the index of refraction that causes problems
Wind, convection, and land masses cause turbulence, mixing the layers of different indices of refraction in non-uniform and continuously varying ways
Seeing
This non-uniform, continuous variation in the index of refraction cause the initially plane-parallel wavefronts to tilt, bend, and corrugate
This causes the twinkling we see when we look at stars with our eyes
Any degradation of images by the atmosphere is called seeing
top of atmosphere
turbulent atmosphere
near ground
SeeingTo understand seeing, we need to examine the index of refraction and its dependence of temperature and pressure (and humidity, too)
Cauchy’s formula, extended by Lorentz to account for humidity, gives the excess (over vacuum) index of refraction of air:
where p is the pressure in mbars, T is the temperature in K, and v is the water vapor pressure in mbars
nair � 1 =77.6⇥ 10�6
T
✓1 +
7.52⇥ 10�3
�2
◆⇣p+ 4810
v
T
⌘
SeeingThe dominant terms are
Seeing — perturbations of the transiting wavefront — is caused by changes in nair differentially across the wavefront due to turbulence
Note that water vapor has little effect on n in the optical (except for fog), but can affect columns of air by causing convection: wet air is lighter than dry air!
nair � 1 = 77.6⇥ 10�6pT�1
SeeingModern observatories are built at very dry sites, so the overall effect of humidity is typically unimportant for seeing (but important for differential refraction)
Ignoring v above, then, for an ideal gas and adiabatic conditions,
Therefore the primary source of index of refraction variations in the atmosphere is thermal variations
We care (mostly) about small-scale variations in T: thermal turbulence
dn
dT/ p
T 2
Thermal turbulenceThermal turbulence in the atmosphere is created on a variety of scales by
convection: air heated by conduction with the warm surface of the Earth becomes buoyant and rises, displacing cooler air
humid (wet) air also rises and displaces dry air
first mountain
ridge
ocean
undisturbed wind flow
turbulence
Thermal turbulence
wind shear: high winds — in particular the jet stream — generate wind shear and eddies at various scales, creating a turbulent interface between other layers in laminar (non-turbulent) flow
first mountain
ridge
ocean
undisturbed wind flow
turbulence
Thermal turbulence
disturbances: large land-form variations — like mountains — can create turbulence
first mountain
ridge
ocean
undisturbed wind flow
turbulence
Thermal turbulenceTurbulence occurs when inertial forces dominate over viscous forces in a fluid
This means that turbulent motions — eddies and vortices — dominate over smooth (laminar) flows
This is true for typical wind speeds and length scales
first mountain
ridge
ocean
undisturbed wind flow
turbulence
Thermal turbulenceTurbulence is created by eddie transfer
kinetic energy is deposited on large scales, which creates eddies
these in turn create smaller eddies, and so on...
...until the shears are so large compared to the eddy scale that the viscosity of air takes over and the kinetic energy is turned into heat
This stops the turbulent cascade and smooths out the temperature fluctuations
Thermal turbulenceKolmogorov showed that the energy spectrum of such a turbulent cascade has a characteristic shape
The inertial range follows a spectrum
where κ is the wavenumber or inverse length
log E
log κ
κ–5/3inertial rangeexternal cutoff
internal cutoffE / �5/3
Thermal turbulenceWhen turbulence occurs in an atmospheric layers with a temperature gradient differing from an adiabatic gradient...
one in which no heat is transferred (i.e., the entropy does not increase)
...it mixes air of different temperatures at the same altitude, producing temperature fluctuations following a Kolmogorov spectrum
log E
log κ
κ–5/3inertial rangeexternal cutoff
internal cutoff
Atmospheric layers contributing to turbulence
There are effectively four layers of the atmosphere that affect the seeing, with gradual transitions of properties between them
Atmospheric layers contributing to turbulence
surface or ground layer: ~few to 10’s of meters — up to few arcminutes seeing!
turbulence generated by wind shear due to friction and topographic effects
site geometry, trees, boulders, etc.
best sites have surface layers <10 m
build telescope above this layer
Atmospheric layers contributing to turbulence
planetary boundary layer: <~1 km above sea level — 10’s of arcseconds seeing
both frictional effects and day-night heating-cooling cycles
creates convection up to inversion layer
most observatories built above this layer
Atmospheric layers contributing to turbulence
atmospheric boundary layer: above planetary boundary layer
not dominated by convection but by abrupt changes in topography
Atmospheric layers contributing to turbulence
free atmosphere: seeing ~0.4″ — best sites mostly see this layer
unaffected by frictional influence of ground
large-scale flows
tropical trade winds (at lower altitudes), jet stream (at higher altitudes)
mechanical turbulence
Seeing
To understand turbulence in the context of seeing, we need to translate the Kolmogorov spectrum into a spatial variation
To do this, we define a structure function: in 1D,
where T(x) and T(x+r) are the temperatures at two points separated by r
DT (r) = h[T (x+ r)� T (x)]2i
SeeingFor a Kolmogorov spectrum,
where CT2 is the temperature structure constant and gives the intensity of thermal turbulence
The variation of the index of refraction (of air) is given by the index of refraction structure constant,
DT (r) = C2T r
2/3
C2n = C2
T [77.6⇥ 10�6(1 + 7.52⇥ 10�3��2)pT�2]2
Seeing
There is a characteristic transverse linear scale over which we can consider the atmospheric variations to “flatten out” and in which plane-parallel wavefronts are transmitted
over these scales, the images are “perfect”
This scale is called the Fried parameter r0
SeeingThe Fried parameter is well-described by integrating Cn2 along the line-of-sight through the atmosphere:
where z is the zenith angle and z′ is the distance along the line of sight
A larger Fried parameter is better! Hence the inverse dependence on Cn2
note also the dependence on cos z, so the Fried parameter gets smaller as one looks through more atmosphere
r0 = [1.67��2(cos z)�1
ZC2
n(z0)dz0]�3/5
Seeing
The Fried parameter is inversely proportional to the size of the PSF transmitted by the atmosphere
The FWHM of the observed PSF can be predicted if we know the variation of Cn2 along the line-of-sight:
✓FWHM(00) = 2.59⇥ 10�5��1/5
(cos z)�1
ZC2
n(z0)dz0
�3/5
Seeing
This is a typical Cn2 profile
Note that FWHM is bigger for larger zenith angles and smaller for longer wavelengths
Isoplanaticity and the Fried model
In 1665, Hooke suggested the existence of “small, moving regions of the atmosphere having different refractive powers that act like lenses” to explain scintillation, the “twinkling” of stars
In 1966, Fried showed that this simple model was a reasonable representation of reality...
Isoplanaticity and the Fried model
Assume that at any given moment, the atmosphere acts like an array of small, contiguous, wedge-shaped refracting cells
These locally tilt the wavefront randomly over the size scale of the cells
each cell imposes its own tilt on the wavefront...
...creating isoplanatic patches in which the wave is fairly smooth and has little curvature
Isoplanaticity and the Fried model
Thus, each isoplanatic patch transmits a quality image of the source
The size of this isoplanatic patch is the Fried parameter r0, roughly the diameter (not the radius!) of the patch
This characterizes the seeing
The more turbulence there is, the smaller r0 is
Isoplanaticity and the Fried model
Typically r0≈10 cm in the optical and varies as λ6/5
Seeing is always better at longer wavelengths!
The angular size of the isoplanatic patch is
where h is the height of the primary turbulence layer above the telescope
✓0 ⇠ 0.6r0/h
Seeing effects
There are primary effects of seeing:
Scintillation (“twinkling”)
Image wander (“agitation”)
Image blurring (“smearing”)
Seeing effectsScintillation (“twinkling”) is the result of a varying amount of energy being received over time
intensity changes
Variations in the shape of the turbulent layer result in moments when it acts like a (net) concave lens, focussing the light, and other moments when it acts like a (net) convex lens, defocussing the light
This is only obvious when the aperture is <~r0, like for the human eye
For larger apertures, these effects average out
Note that planets don’t twinkle, because they’re much bigger than θ0
Because it is an interference effect, scintillation is highly chromatic
Seeing effectsImage wander (“agitation”) is the motion of an image in the focal plane due to changes in the average tilt of the wavefront
Because the wavefront is locally plane-parallel, the image can actually be diffraction-limited if the aperture is <~r0
Then the Airy disk is imaged, but it will wander
Larger apertures average over more isoplanatic patches, so this effect is also only present for small apertures
Seeing effectsImage blurring (smearing) dominates for D>r0
Each isoplanatic patch gives rise to its own Airy disk (FWHM ~ λ/D): these are called speckles
Seen together, they have FWHM ~ λ/r0 and give rise to a shimmering blur: https://www.youtube.com/watch?v=vD9vqoMqg5U
If integrating for long times, they will have this size for the long-exposure PSF
In general, the larger the telescope, the more photons it gathers — but the PSF is limited to λ/r0
need adaptive optics (AO) or speckle interferometry
Remember that FWHM ~ λ–1/5, so seeing is always better in the red
Airy disk
Seeing: summaryThe size of the PSF at the detector is caused by the seeing (for long integrations)
The seeing limits the size of the PSF to FWHM ~ λ/r0 instead of the resolution limit FWHM ~ λ/D
since r0≈10 cm in the optical, if D>10 cm, then for a big telescope the “resolution” is the same as a 10 cm telescope
this is why we are so interested in adaptive optics (AO)!
Backgrounds, absorption, scattering, and extinction
In order to get accurate results, we need to correct for the background and for light removed by the atmosphere through absorption and scattering
Many background sources come from the Earth (its inhabitants and its atmosphere)
But perhaps the most important background source is the sunlight reflected from the moon: moonlight
days from new
U B V R I
0 22 22.7 21.8 20.9 19.9
3 21.5 22.4 21.7 20.8 19.9
7 19.9 21.6 21.4 20.6 19.7
10 18.5 20.7 20.7 20.3 19.5
14 17 19.5 20 19.9 19.2
Sky brightness at CTIO
Surfa
ce b
right
ness
in m
ag/s
q.ar
csec
, fro
m N
OAO
new
slette
r #37
Airglow is emission from molecules and some atoms (like O, Na, H) in the atmosphere
this is the source of “sky (emission) lines” we see in spectra taken from ground-based sites
Night sky at a “light-polluted” site
1992PASP..104...76O
1992PASP..104...76O
1992PASP..104...76O
1992PASP..104...76O
Scattered sunlight during twilight is also a problem at the beginning and end of the night
although very useful for flat fields!
We define three “official” twilights according to the Sun’s position with respect to the horizon:
6 degree twilight: “civil twilight” — when you need to turn your headlights on
12 degree twilight: “nautical twilight” — sailors can still see the horizon but also see enough stars to fix a position with a sextant
18 degree twilight: “astronomical twilight” — fully dark sky
Zodiacal light is sunlight scattered off of Solar System dust, very near the plane of the ecliptic
this is the limiting background on moonless nights at a very dark site (and even in space) away from the Galactic plane
Unresolved galaxy and starlight — like in the plane of the Milky Way — can also cause a significant background
In the near- to mid-IR (>2.4 µm), thermal emission from the Earth and the telescope dominate the background
Clouds will reflect light back from the Earth, Sun, and Moon
Finally, light pollution from poorly-regulated human settlements is a serious — and growing — problem for astronomy
World-wide light pollution
The atmosphere not only adds background but also removes flux, decreasing signal-to-noise (or even removing signal altogether)
Absorption and scattering
Atmospheric absorption in the optical is minimal
at λ<3100 Å, O3 (ozone) cuts off the “optical window”
small but annoying regions at ~6800 Å and ~7500 Å from O2 absorption
at λ>8000 Å, H2O vapor causes absorption, defining “windows” at ~1 µm and beyond
Absorption and scattering
In the near- to mid-IR, H2O and CO2 (along with a little NO2 and CH4) make life difficult, except in certain windows
Absorption and scattering
At longer wavelengths, the far-IR is reachable only from space (or very high-flying balloons or airplanes)
The spectrum opens up again at λ>850 µm—1 mm (depending on water vapor), becoming almost totally transparent at cm–m wavelengths
Absorption and scattering
Wavelengths shorter than 3000 Å are only visible from space (or very high-flying balloons or airplanes)
Absorption and scattering
Absorption and scattering
Scattering arises from two major regimes of particle-photon scattering
Absorption and scatteringMolecular scattering, where the scattering radius a≪λ
Rayleigh scattering is dominant, with a cross-section
where N is the particle density and is a function of temperature and pressure, and therefore altitude, etc.
�R(�) =8⇡3
3
(n2 � 1)2
N2�4/ N�2��4
Absorption and scattering
Rayleigh scattering is the main cause of blue extinction and is responsible for the blue sky!
Absorption and scatteringAerosol scattering, where the scattering radius
This is Mie scattering, which has (roughly)
and so is the main cause of red extinction
a & �/10
� / a2��1
Absorption and scatteringAerosols are highly variable from night to night, as they come from
air pollution
“haze” (dust)
volcanic ash
dust storms
etc.
Absorption and scattering
In the summer at La Palma, wind-blown dust (“calima”) from Saharan dust storms is particularly annoying, causing a significant increase in optical extinction
Annual variation at ORM (La Palma)
Long-term variation at ORM
Airmass
In order to determine extinction corrections, we need to define the airmass of our observations
We quote magnitudes at “the top of the atmosphere” top of telescope
top of atmosphere
Xz
one
airm
ass
Airmass
We define the airmass between the top of the telescope and the top of the atmosphere at the zenith as one airmass or X=1
top of telescope
top of atmosphere
Xz
one
airm
ass
Airmass
Define z as the zenith angle (or zenith distance), where
z=90º–altitude
Then in a plane-parallel approximation to the Earth’s atmosphere,
top of telescope
top of atmosphere
Xz
one
airm
ass
X = 1/ cos z = sec z
AirmassThe plane-parallel approximation is good for z<60º
For larger zenith angles, a spherical-shell description is required:
X = sec z�0.0018167(sec z�1)�0.002875(sec z�1)2�0.0008083(sec z�1)3
X=1
z=60º, X=2
z=90º, X=38
AirmassNote that the cosine rule of spherical trigonometry gives
where ϕ is your latitude, δ is the object’s declination, and h is its hour angle (all in radians or degrees)
X=1
z=60º, X=2
z=90º, X=38cos z = sin� sin � + cos� cos � cosh
At 60º, you look through 2 airmasses
At 71º, you look through 3 airmasses
At 90º, you look through 38 airmasses
Atmospheric extinction and photometry
Although this topic actually belongs with our discussion of photometry, we can now discuss the effect of atmospheric extinction on photometry, the measurement of magnitudes
Atmospheric extinction and photometry
Because atmospheric absorption and scattering is a radiative transfer problem, we can characterize it as an optical depth problem
Atmospheric extinction and photometry
Then we can write that the flux remaining after passing through the atmosphere is
where f0 is the original flux of the object above the atmosphere, X is the airmass, and τ is the optical depth
f = f0e�X/⌧
Atmospheric extinction and photometry
Then, in magnitudes,
Therefore, in magnitudes, the loss of light per airmass is linear, with a proportionality constant
called the extinction coefficient
m = �2.5 log10 f
= �2.5 log10 f0 + k�X
k� = �2.5(log10 e)/⌧
Atmospheric extinction and photometry
We will return to the process of determining kλ later...
In the meantime, for the sky over La Palma, on average, the extinction per unit airmass is given to the right...
Clearly, we want to observe objects in the U band as close to overhead as possible!
filter kλ
U 0.55
B 0.25
V 0.15
R 0.09
I 0.06